JNCI Monographs · 2014 · 297 citations · 34 references
Public HealthBiostatisticsOncologyCancer EpidemiologyEpidemiologic MethodsSurvival AnalysisCancer MortalityCancer Survival AnalysisHazard FunctionsPrognostic AssessmentSurvival FunctionsSurvival ModelingCancer Mortality RatesCancer Prognostic ModelingEnd-of-life Cancer MortalityProbabilistic Survival ModelsPrognostic Factors AnalysisRelative Survival AnalysisSurvival Analysis In HealthcareSurvival Rates
Survival statistics are of great interest to patients, clinicians, researchers, and policy makers. Although seemingly simple, survival can be confusing: there are many different survival measures with a plethora of names and statistical methods developed to answer different questions. This paper aims to describe and disseminate different survival measures and their interpretation in less technical language. In addition, we introduce templates to summarize cancer survival statistic organized by their specific purpose: research and policy versus prognosis and clinical decision making.
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The Statistical Analysis of Failure Time Data
John P. Klein · Technometrics · 1982 · 2.2K citations
Cancer survival in five continents: a worldwide population-based study (CONCORD)
Michel P. Coleman, Manuela Quaresma, Franco Berrino et al. · The Lancet Oncology · 2008 · 1.5K citations · Full text
Medicine, Biostatistics, Oncology +17
The relative survival rate: a statistical methodology.
Fred Ederer, Lillian M. Axtell, Stephen J. Cutler · PubMed · 1961 · 1.2K citations